EEG Analysis

Papers

  • Testing the null hypothesis of the nonexistence of a preseizure state
    R.G. Andrzejak, F. Mormann, T. Kreuz, C. Rieke, A. Kraskov, C.E. Elger, K. Lehnertz
    Phys Rev E 67 (2003), 010901. 
     
  • Symbolic dynamics of event-related brain potentials
    P. beim Graben, J. D. Saddy, M. Schlesewsky, J. Kurths
    Phys. Rev. E 62 (2000), 5518-5541.
     
  • Time-dependent entropy estimation of EEG rhythm changes following brain ischemia
    A. Bezerianos, S. Tong and N. Thakor
    Ann. Biomed. Eng. 31 (2003), 221-232.
     
  • Tsallis entropy and cortical dynamics: The analysis of EEG signals
    A. Capurro, L. Diambra, D. Lorenzo, O. Macadar, M.T. Martin, C. Mostaccio, A. Plastino, E. Rofman, M.E. Torres and J. Velluti
    Physica A 257 (1998), 149-155.
     
  • Anticipating epileptic seizures: From mathematics to clinical applications
    M. Le Van Quyen
    Comptes rendus de Lacadmie des Sciences - CR Biol. 328 (2005), 187-198. 19
     
  • Anticipating epileptic seizures in real time by a non-linear analysis of similarity between EEG recordings
    M. Le Van Quyen, J. Martinerie, M. Baulac M, F. Varela
    Neuroreport 10 (1999), 2149-2155.
     
  • Preictal state identification by synchronization changes in longterm intracranial EEG recordings
    M. Le Van Quyen, J. Soss, V. Navarro, R. Robertson, M. Chavez, M. Baulac, J. Martinerie
    Clin. Neurophysiol. 116 (2005), 559-568.
     
  • Nonlinear EEG Analysis in Epilepsy: Its Possible Use for Interictal Focus Localization, Seizure Anticipation, and Prevention.
    K. Lehnertz, R.G. Andrzejak, J. Arnhold, T. Kreuz, F. Mormann, C. Rieke, G. Widman, and C.E. Elger.
    Journal of Clinical Neurophysiology 18 (2001), 209222.
     
  • Can epileptic seizures be predicted? Evidence from nonlinear time series analysis of brain electrical activity
    K. Lehnertz and C.E. Elger.
    Phys. Rev. Lett 80 (1998), 50195022.
     
  • Spatio-temporal dynamics of the primary epileptogenic area in temporal lobe epilepsy characterized by neuronal complexity loss.
    K. Lehnertz and C.E. Elger.
    Electroenceph. Clin. Neurophys. 95 (1995), 108117.
     
  • Epileptic seizures may begin hours in advance of clinical onset: A report of five patients
    B. Litt, R. Esteller, J. Echauz, M. DAlessandro, R. Shor, T. Henry, P. Pennell, C. Epstein, R. Bakay, M. Dichter, and G. Vachtsevanos.
    Neuron 30 (2001), 5164.
     
  • Comparison of three nonlinear seizure prediction methods by means of the seizure prediction characteristics
    T. Maiwald, M. Winterhalder, R. Aschenbrenner-Scheibe, H. U. Voss A. Schulze-Bonhage, J. Timmer
    Physica D 194 (2004), 357-368.
     
  • Epileptic seizures are preceded by a decrease in synchronization
    F. Mormann, T. Kreuz, R.G. Andrzejak, P. David, K. Lehnertz, C.E. Elger
    Epilepsy Res. 53 (2003), 173-185.
     
  • On the predictability of epileptic seizures
    F. Mormann, T. Kreuz, C. Rieke, R.G. Andrzejak, A. Kraskov, P. David, C.E. Elger, K. Lehnertz
    Clin. Neurophysiol. 116 (2005), 569-587.
     
  • Seizure anticipation: Do mathematical measures correlate with video-EEG evaluation?
    V. Navarro, J. Martinerie, M. Le Van Quyen, M. Baulac, F. Dubeau, J. Gotman
    Epilepsia 46 (2005), 385-396.
     
  • EEG analysis using wavelet-based information tools
    O. A. Rosso, M. T. Martin, A. Figliola, K. Keller, A. Plastino
    to appear in in J. Neurosci. Meth., Buenos Aires 2005, 
     
  • Brain electrical activity analysis using wavelet based informational tools (II): Tsallis non-extensivity and complexity measures
    O. A. Rosso, M. T. Martin and A. Plastino
    Physica A 320 (2003), 497-511.
     
  • Brain electrical activity analysis using wavelet based informational tools
    O. A. Rosso, M. T. Martin and A. Plastino
    Physica A 313 (2002), 587-609.
     
  • Parameterized entropy analysis of EEG following hypoxic-ischemic brain injury
    S. Tong, A. Bezerianos, A. Malhotra, Y. Zhu, N. Thakor
    Phys. Lett. A 314 (2003), 354-361.
     
  • Nonextensive entropy measure of EEG following brain injury from cardiac arrest
    S. Tong, A. Bezerianos, J. Paul, Y. Zhu, N. Thakor
    Physica A 305 (2002), 619-628. 
     
  • Testing statistical significance of multivariate time series analysis techniques for epileptic seizure prediction
    B. Schelter, M. Winterhalder, T. Maiwald, A. Brandt, A. Schulze-Bonhage, J. Timmer
    Chaos 16 (2006), 013108.
     
  • qEEG monitoring of Alzheimers disease treatment: A preliminary report of three case studies
    R. Sneddon, W.R. Shankle, J. Hara, A. Rodriquez, D. Hoffman and U. Saha,
    Clinical EEG and Neuroscience 37 (2006), 54-59.
     
  • Advances in quantitative electroencephalogram analysis methods
    N. Thakor, S. Tong
    Annual Review of Biomedical Engineering 6 (2004), 453-495. 
     
  • The seizure prediction characteristics: a general framework to assess and compare prediction methods
    M. Winterhalder, T. Maiwald, H.U.Voss, R. Aschenbrenner-Scheibe, J. Timmer, A. Schulze-Bonhage
    Epilepsy Behav. 4 (2003), 318-325
     

2006 - SPMC / SoCCE / UoP